Recent Advances in Agent-based Negotiation de Reyhan Aydo¿an

Recent Advances in Agent-based Negotiation

Editat de Reyhan Aydo¿an, Takayuki Ito, Ahmed Moustafa, Takanobu Otsuka, Minjie Zhang

en Limba Engleză Paperback – 12 mai 2022

Considerăm acest volum o resursă tehnică de prim rang, care își deschide analiza prin prezentarea platformei NegMAS, un cadru software esențial pentru dezvoltarea și testarea negocierilor situate. Recent Advances in Agent-based Negotiation sintetizează cele mai valoroase contribuții de la workshop-ul ACAN 2019, oferind o perspectivă aplicată asupra modului în care agenții software interacționează în medii complexe. Dacă lucrarea Advances in Automated Negotiations a lui Takayuki Ito v-a oferit cadrul teoretic și o vedere de ansamblu asupra sistemelor multi-agent, această ediție curentă furnizează instrumentele practice și studiile de caz necesare pentru implementarea strategiilor de licitare.

Subliniem structura riguroasă a cărții, care progresează de la analiza comportamentului uman și a emoțiilor în negociere, către modele matematice de argumentare abstractă și recunoașterea strategiilor în sistemele de suport. Un punct de interes major îl reprezintă capitolul dedicat învățării prin recompensă (Reinforcement Learning), unde este testată capacitatea unui agent de a depăși performanța algoritmului clasic Zero Intelligence Plus. Această abordare practică continuă direcția începută de editori în lucrări precum PRIMA 2022: Principles and Practice of Multi-Agent Systems, însă se concentrează mult mai specific pe dinamica negocierii. Ne-a atras atenția, de asemenea, capitolul final care aplică protocoalele de negociere într-un scenariu de identitate ascunsă, utilizând jocul Werewolf ca model experimental pentru securitate și strategie.

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Specificații

ISBN-13: 9789811604737
ISBN-10: 9811604738
Pagini: 132
Ilustrații: XII, 119 p. 29 illus., 20 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.24 kg
Ediția:1st ed. 2021
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte profesioniștilor din inteligență artificială care doresc să implementeze sisteme de negociere autonome. Cititorul câștigă acces la platforma NegMAS și la metodologii concrete pentru integrarea factorului uman și a învățării automate în strategiile de licitare. Este un ghid practic pentru înțelegerea modului în care agenții software pot gestiona argumentarea și interdependențele în scenarii de piață reală.

Despre autor

Takayuki Ito, Reyhan Aydo¿an și echipa de editori sunt figuri centrale în cercetarea sistemelor multi-agent la nivel global. Takayuki Ito are o experiență vastă în organizarea competițiilor de agenți și a workshop-urilor ACAN, fiind recunoscut pentru contribuțiile sale în designul mecanismelor de negociere complexă și teoria alegerii sociale. Expertiza colectivă a editorilor, consolidată prin volume precum cele din seria Studies in Computational Intelligence, garantează o selecție de lucrări care îmbină rigoarea academică cu aplicabilitatea industrială în domeniul calculatoarelor și IT.

Descriere scurtă

This volume comprises carefully selected and reviewed outcomes of the 12^th International Workshop on Automated Negotiations (ACAN) held in Macao, 2019, in conjunction with International Joint Conference on Artificial Intelligence (IJCAI) 2019. It focuses on human aspects of automated negotiation and the recent advances in negotiation frameworks and strategies. Written by leading academic and industrial researchers, it is a valuable resource for professionals and scholars working on complex automated negotiations.

Cuprins

Effect of Awareness of Other Side’s Gain on Negotiation Outcome, Emotion, Argument and Bidding Behavior.- Facilitation in Abstract Argumentation with Abstract Interpretation.- How to Recognize and Explain Bidding Strategies in Negotiation Support Systems.- NegMAS: A platform for situated negotiations.- Can a Reinforcement Learning trading agent beat Zero Intelligence Plus at its own game.- Negotiation in Hidden Identity: Designing Protocol for Werewolf Game.

Notă biografică

Dr. Reyhan Aydoğan is Assistant Professor in the Department of Computer Science at Özyeğin University and guest researcher in the Interactive Intelligence Group at TU Delft. She received her PhD. degree in 2011 in Computer Engineering from Boğaziçi University, Turkey, after which she joined the Interactive Intelligence Group at Delft University of Technology as a postdoctoral researcher. As a guest researcher, she visited the Center of Collective Intelligence at MIT in 2013; Intelligence Systems Group at Norwegian University of Science and Technology in 2015 and Nagoya Institute of Technology in 2017. Her research focuses on the modeling, development and analysis of intelligent agents that integrate different aspects of intelligence such as reasoning, decision making and learning. She is well-known for her research on qualitative preference modeling, automated negotiating agents and negotiation protocols. Besides autonomous agents, she also designs and develops decisionsupport systems in particular negotiation support systems. Her aim is to support human decision makers in complex and dynamic environments, which also requires the design of effective human computer interaction (e.g. preference elicitation). Her career project is about human-robot negotiation.
Dr. Takayuki Ito is Professor in the Department of Social Informatics at Kyoto University. He received his Doctor of Engineering from Nagoya Institute of Technology, Japan in 2000. He was a JSPS research fellow, an associate professor of JAIST, and a visiting scholar at USC/ISI, Harvard University, and MIT. He received the JSAI Achievement Award, the JSPS Prize, the Fundamental Research Award of JSSST, the Prize for Science and Technology of the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology (MEXT), the Young Scientists' Prize of the Commendation for Science and Technology by the MEXT, the Nagao Special Research Award of IPSJ, the Best Paper Award of AAMAS2006, the 2005 Best Paper Award of JSSST, and the Super Creator Award of 2004 IPA Exploratory Software Creation Project. He was a JST PREST Researcher, and a principal investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers. He is currently principal investigator of JST CREST project.
Dr. Ahmed Moustafa is an Associate Professor at Nagoya Institute of Technology. He received his Ph.D. in Computer Science from the University of Wollongong, Australia. He is a member of the Japan Society of Artificial Intelligence, IEEE Computer Society, Australia Computer Society, Service Science Society of Australia. He was a visiting researcher in University of Adelaide, Auckland University of Technology and Data61, Australia. His main research interests include complex automated negotiation, multiagent reinforcement learning, trust and reputation in multiagent societies, deep reinforcement learning, serviceoriented computing, collective intelligence, intelligent transportation systems and data mining.
Dr. Takanobu Otsuka is Associate Professor in the Department of Computer Science at Nagoya Institute of Technology, Japan. He received his M.E. and Doctor of Engineering from the Nagoya Institute of Technology, Japan, in 2011 and 2016, respectively. Between 2012 and 2015, he was an Assistant Professor at Nagoya Institute of Technology. From 2015 and 2016, he was a visiting researcher at University of California Irvine, USA. His main research interests include IoT, multi-agent systems, intelligent agents, distributed system, and software engineering on offshoring.

Prof. Minjie Zhang received her Ph.D. from the University of New England, Australia in 1996. Dr. Zhang is a full professor, the Director of Centre for Big Data Analytics and Intelligent Systems, and the Research Chair in Computer Science and IT at the University Of Wollongong (UOW), Australia. She is the author/co-author of over 260 research papers. She has organised over 20 international workshops and conferences. As a co-editor, she has edited 14 books and 4 special issues with reputable journals. Her research interests include multi-agent systems and their applications in complex domains, distributed artificial intelligence, smart modeling and simulation in complex systems, agent-based grid/cloud computing, and smart grid systems.

Caracteristici

Covers the latest studies and developments in automated negotiations Includes detailed description of agent-based negotiation approaches Presents the outcomes of the 12th International Workshop on Automated Negotiations (ACAN2019)